Senior Software Engineer, Data Ingestion

Horizon3

1d•$199,750 - $260,000•Remote

About The Position

Horizon3 is seeking a Senior Software Engineer for its Data Ingestion team. This role is responsible for building and maintaining the pipelines that transform raw pentest output into structured, queryable data across the NodeZero platform. The pipelines are crucial for translating execution engine results into customer-facing insights. The engineer will work on high-throughput ETL systems to normalize scan data, push findings to various data stores, and support downstream systems like Asset Inventory, reporting, and analytics. This position reports to the Data Ingestion Engineering Manager and collaborates with a small team of backend engineers.

Requirements

5+ years of professional software engineering experience with production backend systems
Strong Go and/or Python proficiency
Demonstrated experience building and operating data pipelines or ETL systems in production (streaming or batch)
Working knowledge of message queues or event streaming systems (Kafka, RabbitMQ, or equivalent)
Experience with relational databases (PostgreSQL or equivalent) — schema design, query optimization, migrations
Understanding of data normalization trade-offs, schema evolution, and backward compatibility
Experience running services on Kubernetes and containerized environments (Docker)
Comfort deploying and debugging distributed systems in AWS or equivalent cloud
Operational mindset: you instrument your code, write runbooks, and own your services through their full lifecycle
Ability to work across team boundaries: you define data contracts with downstream consumers, not just ship to a queue and walk away
Clear written communication — design docs, PR descriptions, and async updates to distributed teammates

Nice To Haves

Familiarity with graph databases or graph data models is a strong asset
Experience in cybersecurity, security tooling, or working with vulnerability or threat data
Exposure to graph databases (Neo4j, DGraph, or equivalent)
Experience with Apache Kafka or similar event streaming platforms at production scale
Background in offensive security tools or pentest workflows — you'll understand the data you're ingesting

Responsibilities

Design, implement, and operate data ingestion pipelines that process pentest results at scale — scan output, discovered assets, vulnerability findings, and network topology data
Own end-to-end delivery of pipeline features: schema design, implementation, testing, deployment, and monitoring
Build and maintain ETL components in Go and/or Python that normalize heterogeneous inputs from NodeZero's execution engines
Partner with the Asset Inventory and Data Platform teams to define and evolve the data contracts that connect ingestion to downstream consumers
Diagnose and resolve production issues in pipeline latency, data correctness, and throughput
Contribute to code and design reviews; provide engineering guidance to P3 engineers on the team